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All Journal JAIS (Journal of Applied Intelligent System) REMIK : Riset dan E-Jurnal Manajemen Informatika Komputer RESLAJ: RELIGION EDUCATION SOCIAL LAA ROIBA JOURNAL International Journal of Applied Research and Sustainable Sciences (IJARSS) Jurnal Pelita Pengabdian SAINTEK
Afriantoro, Irfan
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Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Astronomy Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Industrial & Manufacturing Engineering Social Sciences

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Sistem Informasi Perpustakaan SMP Karya Iman Lippo Cikarang Berbasis Web Febri Suratman; Sulaeman, Asep Arwan; Afriantoro, Irfan
REMIK: Riset dan E-Jurnal Manajemen Informatika Komputer Vol. 8 No. 1 (2024): Call for Paper: Volume 8 Nomor 1 Januari 2024
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/remik.v8i1.13452

Abstract

Sistem informasi perpustakaan berbasis web merupakan solusi yang tepat untuk meningkatkan efisiensi dan efektivitas pengelolaan perpustakaan di era digital. Sistem ini dapat membantu mengatasi permasalahan yang dihadapi oleh perpustakaan SMP Karya Iman Lippo Cikarang, seperti pengelolaan data yang belum efektif, rentan terjadinya kesalahan dalam transaksi peminjaman dan pengembalian buku, serta tidak adanya informasi tentang posisi buku. Penelitian ini membahas perancangan dan implementasi sistem informasi perpustakaan berbasis web di SMP Karya Iman Lippo Cikarang. Sistem ini diharapkan dapat memberikan solusi terhadap kendala yang muncul dari sistem administrasi manual yang saat ini diterapkan. Dengan adopsi teknologi berbasis web, diharapkan pengelolaan data perpustakaan dapat dilakukan dengan lebih efisien, dan proses peminjaman serta pengembalian buku dapat dilakukan dengan lebih mudah dan cepat. Selain itu, sistem ini juga membawa manfaat akses online bagi pengguna, memungkinkan mereka mencari informasi buku tanpa terikat oleh batasan ruang dan waktu.Penelitian ini memiliki relevansi penting dalam konteks pengembangan perpustakaan di era digital. Melalui pembahasan perancangan, implementasi, dan evaluasi sistem ini, diharapkan akan memberikan kontribusi positif dan berkelanjutan terhadap pengembangan perpustakaan di sekolah ini
Asistensi Manajemen Persediaan Barang Dagang di Toko CIQ Bintang Asiah, Neng; Widati, Sindik; Hidayat, Taufik; Afriantoro, Irfan; Riswandi, Rendi
Jurnal Pelita Pengabdian Vol. 1 No. 1 (2023): Januari
Publisher : DPPM Universitas Pelita Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37366/jpp.v1i1.1639

Abstract

Kegiatan Pengabdian Masyarakat ini dilatar belakangi oleh penemuan studi lapangan bahwa Toko CIQ Bintang sebagai salah satu toko penyedia alat tulis kantor dan alat sekolah di Kota Bekasi yang mengalami permasalahan dalam pengelolaan persediaan barang dagang. Salah satunya terdapat kendala dalam pencatatan dan penyusuna persediaan barang dagang, akibatnya mitra membutuhkan waktu yang cukup lama dalam menyediakan barang yang diminta oleh konsumen yang berdampak pada keterlambatan pengiriman barang. Tujuan kegiatan PKM ini untuk memberikan asistensi mengenai manajemen persediaan barang dagang di Toko CIQ Bintang, sehingga barang dagang dapat dikelola dengan baik mulai dari penyusunan barang sampai dengan dokumen yang dibutuhkan. Metode yang digunakan dalam kegiatan PKM yaitu melakukan wawancara dengan pihak mitra, kemudian mengidentifikasi permasalahan, menata barang dagang, dan menyusun dokumen yang dibutuhkan dalam persediaan. Hasil kegiatan dalam asistensi manajemen persediaan barang menunjukkan bahwa mitra dapat menyusun barang dagang dengan baik dan tertata rapi, adanya dokumen kartu stok barang yang terdapat dalam data komputer toko, dan pemahaman mengenai economic order quantity agar terhindar dari penumpukan stok sehingga persediaan lebih efisien.
Implementation of Temperature and Humidity Control Devices in IOT-Based Hydrophonic Peppermint Cultivation at Sufiagrifarm Slawi Maulana, Donny; Afriantoro, Irfan
Journal of Applied Intelligent System Vol. 8 No. 1 (2023): Journal of Applied Intelligent System
Publisher : Universitas Dian Nuswantoro and IndoCEISS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33633/jais.v8i1.7171

Abstract

Along with the rapid development of existing technology, especially in the field of information and the Internet of Thinks ( IoT ), which is developing so fast and producing a lot of benefits to help humans both in the field of education and in manufacturing and agriculture. But at this time there are still so many technologies that still cannot be implemented in certain fields, for example like agriculture, where everything is still done manually so that it takes a lot of time, costs and also more energy in the process. Such as the constraints that exist with Sufiagrifarm, where in this case to meet the needs of temperature and humidity in Peppermint plants that use a hydrophonic planting system it is still done manually by spraying the plants with a spray that produces dew. Given these problems, this research aims to assist Sufiagrifarm in overcoming problems in regulating temperature and humidity in peppermint plants so that temperature and humidity compliance in peppermint plants can be carried out automatically and can be monitored in real time. Development in this method is carried out using the SDLC Waterfall method. This application was created using the Java programming language using the MITApp inventor platform, for the tool itself it was made using an Arduino microcontroller with the C programming language supported by several other devices such as Thingspeak. The results of this study are to help fulfill temperature and humidity in peppermint cultivation at Sufiagrifarm.
Decision Support System For Determining The Best Employee Using The Visekriterijumsko Kompromisno Rangiranje Method (Case Study At Distribution Center Guardian) Auliyah, Risma; Maulana, Donny; Afriantoro, Irfan
Journal of Applied Intelligent System Vol. 8 No. 2 (2023): Journal of Applied Intelligent System
Publisher : Universitas Dian Nuswantoro and IndoCEISS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33633/jais.v8i2.8637

Abstract

The quality of human resources is one of the supporting factors to increase the performance productivity of a corporate agency. Highly competent human resources can support the level of performance, with performance appraisal, the achievements of each employee will be obtained. To obtain fast and accurate information on employee performance that meets the expected criteria. To find out this, with a multi-criteria decision-making method by solving complex and unstructured situations into parts and compiling them using the Visekriterijumsko Kompromisno Rangiranje (VIKOR) method on Decision Support Systems (SPK), the determination of the best employee can be calculated based on the calculation of the weight their respective criteria, so that they can quickly select the best employees in the company. From the final results of the VIKOR method, ranking 1 is Sukron, with a value of 0.
Perbandingan Model Klasifikasi Tuned dan Untuned Dalam Prediksi Penyakit Jantung Sunge, Aswan Supriyadi; Tedi Kurniadi, Nanang; Zahrotul Kamalia, Antika; Naya, Candra; Afriantoro, Irfan; Suwarno, Agus
Prosiding Sains dan Teknologi Vol. 3 No. 1 (2024): Seminar Nasional Sains dan Teknologi (SAINTEK) ke 3 - Januari 2024
Publisher : DPPM Universitas Pelita Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Penyakit jantung merupakan salah satu penyakit yang mematikan, biarpun bisa dicegah namun sulit untuk diprediksi, maka dari itu dibutuhkan suatu model prediksi jantung dengan penggunaan Machine Learning dengan metode Classifier dengan model Random Forest dan Decision Tree lalu hasilnya divalidasi kembali agar bisa membandingkan hasilnya dengan (Tuned) atau tanpa (Untuned) dengan GridSearchCV. Hasil yang didapat bahwa model Random Foreset lebih tinggi dibanding Decision Tree, diharapkan dengan hasil penelitian bisa dijadikan pedoman dalam prediksi jantung dikemudian hari.
SMS Gateway based E-mail to SMS and SMS to E-mail Delivery Service Application Suherman, Suherman; Afriantoro, Irfan; Saputra, Dian
Reslaj : Religion Education Social Laa Roiba Journal Vol 6 No 3 (2024): Reslaj: Religion Education Social Laa Roiba Journal
Publisher : LPPM Institut Nasional Laa Roiba Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47467/reslaj.v6i3.6406

Abstract

The very rapid development of information and communication technology has a direct influence on human life, namely the internet and cell phones, the internet makes it easy to access very valuable and very cheap information that does not depend on location anywhere, connecting very long distances to communicate, technological developments always has a very high role and contributes to the direction of development in the world of multimedia, education, entertainment and others, this application uses Microsoft Visual Basic.NET software. and to design the application using E-mail and GSM cellphones.Keywords: MDLC, Learning Media, Mathematics, Scratch.
Transforming Supply Chain Forecasting Using Transformer Models and K-NN Analysis Faris Muzaki, Moch. Nauval; Fatchan, Muhamad; Afriantoro, Irfan
International Journal of Applied Research and Sustainable Sciences Vol. 2 No. 6 (2024): June 2024
Publisher : MultiTech Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59890/ijarss.v2i6.2026

Abstract

The study optimizes supply chain logistics in Asia using the K-Nearest Neighbors (K-NN) algorithm to enhance delivery efficiency and profitability. It suggests that future research should explore ensemble methods and deep learning models for better accuracy and robustness. Comparative analyses with traditional models provide valuable insights. Investigating the impact of real-time data analytics and IoT can improve visibility and control. Big data analytics for predictive models in risk management and resilience against disruptions like natural disasters and geopolitical instability is crucial. Exploring collaborative networks where stakeholders share data and resources can significantly advance logistics efficiency. These directions will help develop efficient, resilient, and sustainable supply chain systems, offering practical solutions for businesses in Asia's complex market.
Co-Authors Agus Suwarno, Agus Auliyah, Risma Dian Saputra Faris Muzaki, Moch. Nauval Febri Suratman Maulana, Donny Muhamad Fatchan Naya, Candra Neng Asiah, Neng Riswandi, Rendi Suherman, Suherman Sulaeman, Asep Arwan Sunge, Aswan Supriyadi Taufik Hidayat Tedi Kurniadi, Nanang Widati, Sindik Zahrotul Kamalia, Antika